IDEAS home Printed from https://ideas.repec.org/p/iik/wpaper/338.html
   My bibliography  Save this paper

Variance of ANOVA-based estimator sˆ2M for differing sub-population sizes nk, 1 = k = K

Author

Listed:
  • Mohammed Shahid Abdulla

    (Indian Institute of Management Kozhikode)

  • L Ramprasath

    (Indian Institute of Management Kozhikode)

Abstract

Analysis of Variance (ANOVA) is a popular method to infer whethersub-populations have effects that are strong enough to reject the nullhypothesis, in the face of observation noise. The variance of conditionalexpectation (Var-of-CE) is the variance of these effects in sub-populations,and this is estimated by sampling a sub-population of sizenk, for each sub-populationk, and by samplingKsuch sub-populations. For the generalcase of varyingnk, it is unknown what the variance of this estimatoris, though it is known for the special casenk=n,n=2for allk?{1,2,...,K}as in [1]. The following derivation settles the former questionand is of value in use-cases where sampling has constraints

Suggested Citation

  • Mohammed Shahid Abdulla & L Ramprasath, 2019. "Variance of ANOVA-based estimator sˆ2M for differing sub-population sizes nk, 1 = k = K," Working papers 338, Indian Institute of Management Kozhikode.
  • Handle: RePEc:iik:wpaper:338
    as

    Download full text from publisher

    File URL: https://iimk.ac.in/websiteadmin/FacultyPublications/Working%20Papers/3100Final%20File%20For%20Upload.pdf
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:iik:wpaper:338. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sudheesh Kumar (email available below). General contact details of provider: https://edirc.repec.org/data/iikmmin.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.